diff --git a/changelog0.6 b/changelog0.6
new file mode 100644
index 00000000..a3cf107b
--- /dev/null
+++ b/changelog0.6
@@ -0,0 +1,28 @@
+# GPy 0.6 Changelog
+
+GPy 0.6 brings a host of changes. At the core of GPy is a new framewrok for handling parameteterised models, which gives much improved performace for many case. The kernels have changed both in their internal structure and their interface. We have added tutorials and improved docstrings (and thus sphinx compiled documentation) everywhere. 
+
+## kernel changes
+
+The kernels now follow the pep8 guidelines and use CamelCase for class names. this means that 
+  GPy.kern.linear(args)
+is now replaced with 
+  GPy.kern.Linear(args)
+This does mean small changes to some users code. Apologies for the inconvenience. 
+
+The kernels can now (optionally) accept `active_dims`, an iterable which describs which dimensions of the input the kernel should work on. This makes constructing kernels which are products over different space (tensor product kernels) much easier to implement.
+
+The kernels include a base class called `Stationary`. Many kernels (Matern, RBF, Exponential) inherrit from this, saving lots of code. Implementing new Stationary kernels is straightforward. 
+
+## Likelihood changes
+
+The stucture of GPy has changed co that we can have a more 'plug-n-play', modular codebase. There's now a base `Likelihood` class which skeletons the implementation for many liklihoods, allowing flexible modelling. For example, GPclassificatino with different approximations is now straightforward with the implementation of the Bernouilli class. 
+
+
+## parameterized changes
+
+## Documentation changes
+
+We have focussed efforts on documentation on providing IPython notebooks containing examples. See http://nbviewer.ipython.org/github/SheffieldML/notebook/blob/master/GPy/index.ipynb
+
+
diff --git a/index.html b/index.html
index f96dea04..d2eb306a 100644
--- a/index.html
+++ b/index.html
@@ -41,13 +41,6 @@
         <h2>Installation</h2>
         <p>Installation instructions along side the source code can be found on the <a href="https://github.com/SheffieldML/GPy">GPy project github page</a>. The instructions vary slightly with the target OS but essentially revolve around installing from the python package index, <a href="https://pypi.python.org/pypi/GPy/">PyPI</a></p>
 
-        <h2>Documentation</h2>
-        <p>You can read the online documentation for GPy here:</p>
-
-        <ul>
-            <li><a href="https://gpy.readthedocs.org/en/latest/">Online documentation</a></li>
-        </ul>
-
         <h2>Tutorials</h2>
         A series of tutorials on working with GPy can be found here:</p>
 
@@ -66,6 +59,15 @@
             <li><a href="https://lists.shef.ac.uk/sympa/subscribe/gpy-users">GPy user mailing list</a> </li>
         </ul>
 
+        <h2>Documentation</h2>
+        <p>You can read the online documentation for GPy here:</p>
+
+        <ul>
+            <li><a href="https://gpy.readthedocs.org/en/latest/">Online documentation</a></li>
+        </ul>
+
+	These documents are automatically compiled from the docstrings defined in the code: we recommend new users take a look at the<a href="http://nbviewer.ipython.org/github/SheffieldML/notebook/blob/master/GPy/index.ipynb">tutorials</a> first.
+
         <h2>Tests</h2>
         <p>As the code is under active development we try to ensure that the code is well tested using Continuous Integreation. We'd love to here of any bugs you have found so please do submit issues through our <a href="https://github.com/SheffieldML/GPy/issues">GPy issues page</a>. Continuous integration status is currently:<br><a href="https://travis-ci.org/SheffieldML/GPy"><img src="https://travis-ci.org/SheffieldML/GPy.png" alt="CI status"></a></br></p>
     </section>